Architect multi-agent solutions (15–20%)

Microsoft Certified: Multi-Agent AI Solutions Expert · 60 questions

• Contoso Insurance is designing a multi-agent system in Microsoft Foundry to process complex commercial claims. Business goals include document intake, fraud risk scoring, policy coverage matching, reserve estimation, and adjuster handoff. The solution architect must decompose these goals into agents and workflows. Which design approach best matches production multi-agent architecture practices?
• A healthcare network designs a multi-agent care-coordination solution. Agents can draft discharge summaries, propose medication changes, and schedule follow-ups. Clinical leadership requires that any medication change recommendation be reviewed by a licensed clinician before it is written to the electronic health record (EHR). Which architectural control best satisfies this requirement?
• Fabrikam Logistics is specifying agent personas for a fleet-operations multi-agent system. One agent negotiates carrier rates via external APIs; another summarizes SLA breaches for executives. Security requires least privilege and clear behavioral boundaries. Which specification set is most appropriate for the rate-negotiation agent?
• An enterprise customer-support multi-agent solution must remember the current ticket thread, share selected facts across specialist agents during a session, and retain resolved-case embeddings for future similar incidents without mixing tenants. Which memory architecture best addresses these needs?
• Adventure Works is integrating a research agent that must call internal knowledge tools and also collaborate with a partner-built planning agent hosted outside Adventure Works’ subscription. Architects must choose communication approaches. Which protocol selection is most appropriate?
• A bank is designing a Zero Trust multi-agent investment-research platform on Azure. Compliance demands that a compromised research agent must not be able to invoke trade-execution tools used by a separate trading agent. Which architectural specification best implements this requirement?
• Wide World Importers needs a multi-agent order-exception handler that spikes during holiday peaks, must recover from agent failures, and must control inference cost. Architects are selecting compute for orchestration workers and tool hosts. Which approach best balances scalability, reliability, operational efficiency, security, and cost?
• Northwind’s multi-agent underwriting system fails intermittently when three specialist agents collaborate. Engineers need to reconstruct which agent reasoned what, which tools ran, and how tokens were consumed across services. Which observability components should the architect specify?
• A product team is assigning models to agents in a multi-agent software delivery assistant. Tasks include: (1) high-stakes architecture critique requiring deep reasoning, (2) bulk classification of thousands of low-risk backlog items, and (3) fast intent routing in the orchestrator. Which model-matching strategy is most appropriate?
• Litware is designing a multi-agent workplace assistant that can draft emails, propose calendar changes, and call internal HR tools. Legal and UX require transparency, user control, and minimization of harmful or over-autonomous behavior. Which design package best supports human-AI experience (HAX) and Responsible AI principles?
• You are designing a multi-agent solution for corporate travel. A supervisor must route requests to specialized agents (flights, hotels, policy compliance) that may run concurrently, then merge results for the user. Which logical orchestration pattern best fits?
• Stakeholders want a refund agent that can draft refund recommendations but must never execute refunds above $500 without human approval. How should you specify the agent’s design?
• A multi-agent legal research system needs turn-by-turn conversational context for the active session and durable recall of matter-specific facts across weeks, with tenant isolation between law firm clients. Which memory architecture should you specify?
• You must integrate multiple internal APIs and Azure services as tools for several agents, with a standard protocol for tool discovery and invocation rather than one-off SDKs per agent. Which integration approach best fits modern multi-agent design on Azure?
• A multi-agent compliance workflow flags ambiguous policy cases. Business requires humans to approve, override, or escalate before external communications are sent. How should you design the workflow controls?
• A regulated multi-agent architecture review asks which components must be specified to prevent lateral movement and map controls to compliance frameworks. Which answer is most complete?
• During architecture design, the ops team insists the multi-agent system must support reproducible debugging of agent reasoning and cross-service traces after incidents. Which components should you specify up front?
• You are selecting models for a multi-agent system: a lightweight classifier agent routes intents; a deep reasoning agent handles complex multi-step plans; a vision agent reads PDF screenshots. What architectural principle should guide model assignment?
• A collaborative multi-agent design needs (1) per-user session state, (2) shared team workspace state for agents cooperating on one case, and (3) long-term semantic memory across cases, each with different lifecycle and isolation rules. Which persistence approach should you specify?
• Executives require that a customer-facing multi-agent assistant expose uncertainty, allow users to correct the agent mid-flow, and avoid deceptive anthropomorphism, while logging consent for data use. Which architectural focus addresses these requirements?
• A retailer wants an autonomous system that, for each new product launch, researches competitors, drafts marketing copy, checks brand compliance, and schedules social posts. Stakeholders describe this as one mega-agent that “does everything.” As the solution architect, what is the most appropriate first logical-architecture step?
• You are specifying agents for an internal IT multi-agent helpdesk. A password-reset agent may complete routine resets automatically, but license-purchase and firewall-change requests must pause for engineer approval. What should you define for each agent during logical design?
• An enterprise multi-agent platform must let planning agents discover and call external tools from multiple teams and must also allow a partner’s independently hosted agent to collaborate on shared cases. Which protocol selection best matches these integration needs?
• A multi-agent investigative workflow needs turn-by-turn dialogue context, a shared case file that several agents update during a session, and durable knowledge of prior cases for semantic recall across weeks. Tenant isolation and lifecycle policies are mandatory. Which memory architecture should you specify?
• You are selecting technology components for a multi-agent system that will process regulated financial data. Leadership mandates Zero Trust: no implicit trust between agents, minimized lateral movement, and mappable compliance controls. Which component specification is most aligned?
• During design review, operations requires the ability to reconstruct why a multi-agent loan decision path produced a given outcome, correlate spans across orchestrator and tools, and replay problematic runs for debugging. Which observability components should you specify?
• Your multi-agent architecture includes (1) a planner that breaks ambiguous goals into steps, (2) a high-volume classifier that routes tickets into ten categories, and (3) a code-generation specialist for infrastructure-as-code snippets. How should you match tasks to model capacities?
• You are designing the human-AI experience for a multi-agent legal research assistant used by junior associates. Responsible AI stakeholders require transparency about agent actions, ability to intervene, and clear limits on autonomy for filing-related recommendations. Which design elements should you include?
• A multi-agent batch analytics job can spawn dozens of short-lived worker agents overnight, then drop to near-zero load by day. Requirements emphasize elastic scale, reliability, operational efficiency, security isolation, and cost control. Which compute specification approach is most appropriate?
• A new multi-agent squad is forming across three time zones. Developers currently install conflicting Python packages locally, lack shared AI coding instructions, and onboarding takes weeks. You must specify developer tools and environments that support a healthy SDLC. What should you propose?
• Contoso Insurance is designing a multi-agent claims intake system in Microsoft Foundry. The business goal is: "Accept a first notice of loss (FNOL), classify claim type, gather supporting documents, and either auto-approve low-risk claims or route complex claims to a human adjuster." The architect must decompose this goal before selecting models or hosting. Which decomposition best matches production multi-agent design practice?
• Fabrikam Finance is designing three agents for invoice processing: IntakeAgent (parse invoices), MatchingAgent (3-way match PO/receipt/invoice), and PaymentAgent (initiate payment). Compliance requires that no agent may release payments above $25,000 without a finance manager approval. How should the architect specify autonomy levels and behavioral guidelines?
• Northwind Traders is integrating an existing inventory specialist agent built by another team with a new customer-service orchestrator. The inventory agent already exposes skills over a standard agent-to-agent interface. The orchestrator also needs to call a warehouse REST API for stock counts. Which protocol assignment is most appropriate?
• Adventure Works is designing memory for a multi-agent project planning suite: a Planner agent, a Risk agent, and a Scheduler agent collaborate on long-running programs spanning weeks. Users expect same-session continuity, shared team decisions during a sprint, and recall of prior project outcomes months later with strict tenant isolation. Which multi-tier state design should the architect specify?
• A regulated healthcare provider is deploying a multi-agent clinical documentation system on Azure. Security architects mandate Zero Trust for agentic systems: each agent must have its own identity, tool access must be least privilege, and a compromised summarization agent must not be able to move laterally into the e-prescribing tool path. Which design best meets these requirements?
• Wide World Importers is selecting models for a multi-agent supply-chain suite in Microsoft Foundry. Tasks include: (1) high-volume SKU classification from short structured fields, (2) multi-step negotiation email drafting with careful tone, and (3) overnight batch reconciliation of millions of line items with strict cost caps. Which model capacity matching approach is most appropriate?
• Tailwind Toys is launching a customer-facing multi-agent shopping assistant. Responsible AI and HAX (human-AI experience) requirements include: users must understand when AI is acting, high-impact returns/refunds need human confirmation, and the system must avoid dark patterns that pressure purchases. Which architectural controls best satisfy these requirements?
• Litware's platform team must specify observability for a multi-agent loan underwriting system spanning orchestrator, credit-check agent, and document agent across Azure services. Incidents require reconstructing why an agent chose a tool and replaying runs for debugging. Which observability component set should they specify?
• City Power & Light is choosing compute for a multi-agent outage-response system. Requirements: burst scale during storms, isolate long-running planner jobs from low-latency chat agents, maintain reliability with health probes, and control cost during calm weather. Which compute specification is most appropriate?
• A multi-agent engineering team at Contoso wants consistent local development for Microsoft Agent Framework projects, including shared Python dependencies, VS Code extensions, CLI tooling, and checked-in AI coding instructions for agent patterns. Which technology-component specification best supports the SDLC?
• An enterprise wants a multi-agent customer operations system where a central planner assigns work to billing, shipping, and returns specialists, enforces shared policies, and consolidates a single customer-facing answer. Specialists should not negotiate job assignment among themselves. Which logical orchestration pattern best matches this requirement?
• A bank designs a multi-agent lending assistant. Soft information collection and document checks may run autonomously, but any recommendation to approve credit above a regulatory threshold must include a human decision before systems of record update. How should the architect specify autonomy and control loops?
• An architect must design memory for a multi-agent consulting workspace. Agents need the last few turns for immediate coherence, a team-shared board of intermediate findings during a multi-hour engagement, and durable client preferences that survive across sessions for the same tenant. Which memory architecture best fits?
• A multi-agent media pipeline includes (1) language detection on short strings, (2) multi-hop legal reasoning over contracts, and (3) creative storyboard prose. The architect must assign model families without overspending. Which matching strategy is most appropriate?
• Before implementation, an architect must document how a triage agent, a medical-coding agent, and a billing agent should behave in a hospital revenue-cycle multi-agent system. What specification elements are most critical to define for each agent?
• Two business units already run production specialist agents on different stacks. A new enterprise orchestrator in Microsoft Foundry must invoke those existing agents as tools/services without rewriting them from scratch, and must also expose enterprise knowledge sources through a standard tool interface. Which protocol approach should the architect specify?
• A global retailer needs multi-agent compute that scales for Black Friday traffic spikes, isolates noisy neighbor batches, meets reliability targets, and controls cost during quiet hours. Which compute specification direction best balances these concerns?
• A government contractor must specify Zero Trust components up front for a multi-agent casework system handling controlled unclassified information. Which set of components belongs in the logical architecture?
• An architect is selecting observability components for a multi-agent fraud-investigation system that must support reproducible debugging when investigators challenge an automated conclusion weeks later. Which capability set should be specified?
• A public-sector multi-agent benefits assistant will converse with vulnerable citizens. The architect must design human-AI experience (HAX) and responsible AI controls into the workflow, not bolt them on later. Which design choice best reflects that mandate?
• A retailer wants a multi-agent solution that handles “resolve a late shipment”: detect delay, check inventory alternatives, propose options to the customer, and create a replacement order only after confirmation. How should you decompose the goal into agents and tools at the logical architecture level?
• You are selecting a communication topology for five specialist agents that must stay loosely coupled, with a single place to enforce routing policy, logging, and escalation. Peer agents should not freely call each other. Which logical architecture fits best?
• A legal firm wants a drafting agent that may propose contract clause language but must never send email to counterparties or accept settlement terms. Which specification elements belong in the agent’s persona and autonomy design?
• An enterprise multi-agent assistant needs (1) turn-by-turn dialogue context, (2) shared scratch state for the agent team during a case, and (3) long-term semantic memory of resolved cases—with tenant isolation. Which memory architecture should you specify?
• Your multi-agent design includes (1) a cheap high-volume intent classifier, (2) a reasoning-heavy planning orchestrator, and (3) a code-generation specialist. How should you match tasks to model family capacities?
• While specifying technology components for a Zero Trust multi-agent solution in a regulated industry, which combination best addresses per-agent identity scoping and lateral movement prevention?
• Architects must specify observability so on-call engineers can reconstruct why five agents produced a wrong refund decision. Which observability components should be included?
• A public-sector multi-agent assistant will recommend benefit options. Leadership requires human-AI experience (HAX) and responsible AI controls in the logical design—not only accuracy metrics. Which design package best addresses this?
• You must specify compute for a bursty multi-agent workload: low traffic overnight, sharp peaks during business hours, strict per-tenant isolation goals, and cost sensitivity. Which compute approach best fits?
• A multi-agent engineering team wants consistent local-to-cloud SDLC: reproducible dev environments, IDE support, CLI automation, dependency control, and shared AI coding instructions. Which technology-component specification best supports this?